Patent · US Active

Kind of DR radiography lung contour extraction method based on fully convolutional network

US10147187B2 · kind B2 · utility

1Cited by

1References

9Claims

0Family size

Assignee

Sichuan University · CN

Inventors

Junfeng Wang · Chengdu, CN
Peng Tang · Beijing, CN
Fan Li · Morristown, US
Yihua Du · Chengdu, CN
Yulin Ji · Chengdu, CN
Zongan Liang · Chengdu, CN

Key dates

Filing date	May 18, 2017
Grant date	Dec 4, 2018
Priority date	—
Expiry date	May 18, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30061
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A DR radiography lung contour extraction method based on fully convolutional network, which includes the steps: Establish the fully convolutional network structure of lung contour segmentation; Conduct off-line training on the weighting parameters of the fully convolutional network; Read DR image and weighting parameters of the fully convolutional network; Input DR image into fully convolutional network and output segmentation results of image through network terminal with network layer-by-layer feedforward. Establish lung contour in accordance with segmentation results.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.